Lectures and computer code

• Week 1 Introduction to Spatial Models (under revision)
  • simple R code for geodesic distances
• Weeks 2 and 3 Introduction to geostatistics: variograms, covariograms, kriging and Gaussian processes (under revision)
  • R code for plotting (theoretical) variograms
  • R examples for exploratory data analysis
  • R code for fitting simple geostatistical models and for prediction via kriging
    
• Week 4 Inference for areal/lattice data (under revision)
• Week 5 Bayesian inference and Monte Carlo methods (under revision)
  • Volume 1 of WINBUGS examples .
  • More information on WINBUGS (downloads, links, examples) can be found here
• Week 6 Bayesian geostatistics (under revision)
  • GeoBUGS manual for specifying spatial distributions (now available in the latest version of WINBUGS) : see page 12 in particular.
    
• Week 7 Bayesian areal/lattice data models (under revision)
  • R code for reading in a simple adjacency matrix + discussion about Bayesian computing.
• Week 8 Spatial misalignment (under revision)
• Weeks 9 and 10 Spatiotemporal modeling and Multivariate spatial modeling (under revision)
• Weeks 11,12 Spatial point processes + general discussion about spatial modeling (for projects) (under revision)
  • review paper by Moller and Waagepetersen.
• Week 13 Selected topics (under revision)